School of Medicine
Showing 10,961-10,980 of 13,072 Results
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Shih-Po Su
Postdoctoral Scholar, Ophthalmology
BioDr. Shih-Po Su is a Postdoctoral Research Fellow in the Department of Ophthalmology at Stanford University. He earned his Ph.D. in Biomedical Engineering from National Yang Ming Chiao Tung University (NYCU), Taiwan, in 2024. His doctoral research focused on the development of advanced optical imaging systems, including a three-dimensional near-infrared fluorescence and photoacoustic vascular imaging platform for preclinical applications.
Dr. Su has over a decade of experience in biomedical imaging, integrating optical system design, image analysis, and in vivo disease modeling. His research interests center on the interface of optical engineering and translational medicine, particularly in retinal ganglion cell (RGC) imaging and neuroprotective strategies for glaucoma. At Stanford, he is extending his expertise to short-wave infrared (SWIR/NIR-II) imaging and in vivo retinal functional imaging to establish sensitive biomarkers for neurodegeneration.
His recent work has advanced optical imaging and NIR-II contrast agents, including the co-development of polymer-dot probes for three-dimensional tumor and bone imaging (Chemical Science, 2022; Advanced Healthcare Materials, 2021) and an ultrabright polymer-dot platform for rotational stereo imaging (Advanced Healthcare Materials, 2024). He also designed integrated small-animal imaging systems combining bioluminescence tomography and ultrasound, as well as rotational stereo NIR-II fluorescence imaging (Optics Express, 2024; Journal of Biomedical Optics, 2023; Biosensors, 2022).
Dr. Su has received multiple international recognitions, including the Taiwan Science and Technology Hub@Stanford Postdoctoral Fellowship (2024), First Prize in the NYCU Annual Thesis Competition (2023), the Future Tech Award (MOST, 2022), and the MOST Pilot Scholarship Program (2019). His long-term goal is to develop regenerative medicine–based imaging and therapeutic platforms to address unmet clinical needs in neurodegenerative diseases and vision restoration. -
Leslee L.Subak, MD
Katharine Dexter McCormick and Stanley McCormick Memorial Professor and Professor, by courtesy, of Urology
Current Research and Scholarly InterestsMy research focuses on the association of weight and urinary incontinence (UI) in women and clinical trials to test strategies to improve outcomes in women’s genitourinary health. We have shown the independent association of weight and UI and the efficacy of weight loss to treat women with UI. I also conduct studies of epidemiology, economics and cost-effectiveness, and novel interventions for UI, sexual dysfunction, vaginal atrophy, pelvic organ prolapse and menopause symptoms.
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Nida Subhani, MD
Adjunct Clinical Assistant Professor, Medicine - Infectious Diseases
BioDr. Subhani is trained and experienced in all infectious disease including tuberculosis, staphylococcus aureus infections, and fungal infections of the lungs.
She is especially interested in treating foot infections in diabetic patients (including bone infections) and managing patients living with HIV infection. -
Aruna Subramanian
Clinical Professor, Medicine - Infectious Diseases
Current Research and Scholarly InterestsMy research and scholarly interests have focused on tailoring antimicrobial prophylaxis in specific highly immunocompromised hosts depending on their specific infectious disease risks. I am interested in developing diagnostic algorithms and treatment protocols that will improve the quality of care in transplant and oncology patients.
I also have an interest in training ID fellows in this very specialized area of patient care. To that end, we have started a new ICHS ID fellowship with a specialized curriculum and are developing supplemental educational materials to enhance this training, which can be implemented at other academic training centers. -
Barathi Subramanian
Postdoctoral Scholar, Pathology
BioI am a Postdoctoral Scholar in the Department of Pathology and the Center for AI in Medicine & Imaging at Stanford University. My research focuses on computational pathology, medical AI, and computer vision, with emphasis on whole-slide image analysis, artifact-aware preprocessing, tissue classification, segmentation, survival prediction, and multimodal pathology foundation models.
I develop end-to-end AI pipelines for digital pathology, including whole-slide image preprocessing, tile extraction, quality control, annotation workflows, foundation-model-based feature extraction, and clinically relevant downstream prediction tasks.
Before joining Stanford, I completed my Ph.D. in Computer Vision at Kyungpook National University, South Korea, where I worked on anomaly detection, object detection, gesture recognition, and real-time computer vision systems. My broader goal is to build reliable, interpretable, and clinically useful AI systems for pathology and healthcare.
